با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
Ontology knowledge base combined with Bayesian networks for integrated corridor risk warning
پایگاه دانش هستی شناسی همراه با شبکه های بیزی برای هشدار خطر یکپارچه راهرو-2021 With the accelerated urbanization process, the emergence of urban underground integrated pipeline corridors
is the trend for cities, especially large and medium-sized cities. However, due to the complexity of the internal
system of the integrated corridor, there are various risks in the process of its construction and operation and
maintenance, and the risk factors are complex and diverse. In this paper, we introduce ontology technology and
knowledge base construction into the risk management of integrated pipeline corridor, build an ontology-based
knowledge base of integrated pipeline corridor risk, and construct a Bayesian network based on the established
risk knowledge base for risk evaluation of identified risk factors. The combination of ontology knowledge base
construction and Bayesian network method of integrated pipeline corridor risk makes the risk identification
system completer and more effective, and the method can effectively evaluate the disaster risk level of
integrated pipeline corridor operation and maintenance, which can meet the practical needs of integrated
pipeline corridor operation and maintenance risk management and disaster prevention and mitigation work.
Keywords: Integrated corridor | Risk warning | Ontology knowledge | Bayesian networks |
مقاله انگلیسی |
2 |
Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning: A survey
تکنیک بازنویسی دانش هستی شناسی، مدل سازی دامنه زبان ها و برنامه ریزان برای برنامه ریزی مسیر رباتیک: یک مرور-2018 Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated
towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning
techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge
about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer
new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge
using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also
provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.
Keywords: Path planning; Knowledge representation; Reasoning; Ontology; Spatial; Temporal; Semantic knowledge; Planners; Modeling languages |
مقاله انگلیسی |